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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Pachyderm vs Vertica

Pachyderm vs Vertica

OverviewComparisonAlternatives

Overview

Vertica
Vertica
Stacks90
Followers120
Votes16
Pachyderm
Pachyderm
Stacks24
Followers95
Votes5

Pachyderm vs Vertica: What are the differences?

Developers describe Pachyderm as "MapReduce without Hadoop. Analyze massive datasets with Docker". Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations. On the other hand, Vertica is detailed as "Storage platform designed to handle large volumes of data". It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.

Pachyderm and Vertica can be categorized as "Big Data" tools.

Some of the features offered by Pachyderm are:

  • Git-like File System
  • Dockerized MapReduce
  • Microservice Architecture

On the other hand, Vertica provides the following key features:

  • Analyze All of Your Data. No longer move data or settle for siloed views
  • Achieve Scale and Performance
  • Fear of growing data volumes and users is a thing of the past

Pachyderm is an open source tool with 3.87K GitHub stars and 379 GitHub forks. Here's a link to Pachyderm's open source repository on GitHub.

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Detailed Comparison

Vertica
Vertica
Pachyderm
Pachyderm

It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.

Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.

Analyze All of Your Data. No longer move data or settle for siloed views;Achieve Scale and Performance;Fear of growing data volumes and users is a thing of the past;Future-Proof Your Analytics
Git-like File System;Dockerized MapReduce;Microservice Architecture;Deployed with CoreOS
Statistics
Stacks
90
Stacks
24
Followers
120
Followers
95
Votes
16
Votes
5
Pros & Cons
Pros
  • 3
    Shared nothing or shared everything architecture
  • 1
    Partition pruning and predicate push down on Parquet
  • 1
    Vertica is the only product which offers partition prun
  • 1
    Query-Optimized Storage
  • 1
    Fully automated Database Designer tool
Pros
  • 3
    Containers
  • 1
    Can run on GCP or AWS
  • 1
    Versioning
Cons
  • 1
    Recently acquired by HPE, uncertain future.
Integrations
Oracle
Oracle
Golang
Golang
MongoDB
MongoDB
MySQL
MySQL
Sass
Sass
Mode
Mode
PowerBI
PowerBI
Tableau
Tableau
Talend
Talend
Docker
Docker
Amazon EC2
Amazon EC2
Google Compute Engine
Google Compute Engine
Vagrant
Vagrant

What are some alternatives to Vertica, Pachyderm?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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